Senior Software Engineer- Python, Data Engineer

Design and maintain optimal data pipeline architecture, assemble and integrate large datasets, build and optimize infrastructure for ETL/ELT of data from diverse sources, collaborate with cross-functional stakeholders to address data-related technical challenges and support their data infrastructure needs.

Requirements

• Minimum 5 years of experience in a data engineering role
• Hands-on experience with distributed data processing / big data frameworks (Databricks)
• Python
• Cloud data platforms
• AWS or other cloud environments (e.g., Azure, GCP)
• Experience with workflow orchestration / scheduling platforms
• Version control systems such as GitHub, GitLab, Bitbucket, or Azure Repos
• CI/CD platforms such as Jenkins, GitLab CI, GitHub Actions, or Azure DevOps
• Modern Python API frameworks and strong understanding of RESTful services and good API design principles
• System design concepts, including designing scalable, reliable, and fault-tolerant data architectures
• Object-oriented programming principles and design patterns
• Big data / distributed systems technologies, including streaming & messaging platforms, search & indexing / log analytics engines, structured & unstructured data, container orchestration platforms

Benefits

• Health & Wellness
• Flexible Downtime
• Continuous Learning
• Invest in Your Future
• Family Friendly Perks
• Beyond the Basics